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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

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Showing 1-25 of 55 citing articles:

Teacher’s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writing
Nam Ju Kim, Min Kyu Kim
Frontiers in Education (2022) Vol. 7
Open Access | Times Cited: 123
Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review
Seyyedeh Fatemeh Mousavi Baigi, Masoumeh Sarbaz, Kosar Ghaddaripouri, et al.
Health Science Reports (2023) Vol. 6, Iss. 3
Open Access | Times Cited: 92
University teachers' perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study
Cormac McGrath, Teresa Cerratto Pargman, Niklas Juth, et al.
Computers and Education Artificial Intelligence (2023) Vol. 4, pp. 100139-100139
Open Access | Times Cited: 74
Artificial intelligence for oral and dental healthcare: Core education curriculum
Falk Schwendicke, Akhilanand Chaurasia, Thomas Wiegand, et al.
Journal of Dentistry (2022) Vol. 128, pp. 104363-104363
Closed Access | Times Cited: 50
Knowledge, perceptions, and expectations of Artificial intelligence in radiography practice: A global radiography workforce survey
Theophilus N. Akudjedu, Sofia Torre, Ricardo Khine, et al.
Journal of medical imaging and radiation sciences (2022) Vol. 54, Iss. 1, pp. 104-116
Open Access | Times Cited: 38
Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?
Andrés Barreiro-Ares, Annia Morales-Santiago, Francisco Sendra‐Portero, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 2, pp. 1589-1589
Open Access | Times Cited: 25
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study
Riaan van de Venter, Emily Skelton, Jacqueline Matthew, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
A scoping review of educational programmes on artificial intelligence (AI) available to medical imaging staff
Gloria Doherty, Laura McLaughlin, Ciara Hughes, et al.
Radiography (2024) Vol. 30, Iss. 2, pp. 474-482
Open Access | Times Cited: 12
AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers
Nikolaos Stogiannos, Tracy O’Regan, Erica Scurr, et al.
Radiography (2024) Vol. 30, Iss. 2, pp. 612-621
Open Access | Times Cited: 11
Usability and Efficacy of Artificial Intelligence Chatbots (ChatGPT) for Health Sciences Students: Protocol for a Crossover Randomized Controlled Trial
Mirella Veras, Joseph-Omer Dyer, Morgan Rooney, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e51873-e51873
Open Access | Times Cited: 21
Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK
Nikolaos Stogiannos, Rizwan Malik, Amrita Kumar, et al.
British Journal of Radiology (2023)
Open Access | Times Cited: 18
Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives
Faten Mane Aldhafeeri
BMC Medical Ethics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?
Malene Roland Vils Pedersen, Martin Weber Kusk, S. Lysdahlgaard, et al.
Radiography (2024) Vol. 30, Iss. 4, pp. 1106-1115
Open Access | Times Cited: 5
The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within education
Nikolaos Stogiannos, Michael Jennings, Craig St George, et al.
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101449-101449
Open Access | Times Cited: 5
R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers’ roles
Nikolaos Stogiannos, G. Walsh, Benard Ohene Botwe, et al.
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
Artificial Intelligence user interface preferences in radiology: A scoping review
Avneet Gill, Clare Rainey, Laura L. McLaughlin, et al.
Journal of medical imaging and radiation sciences (2025) Vol. 56, Iss. 3, pp. 101866-101866
Open Access
UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments
Clare Rainey, Tracy O’Regan, Jacqueline Matthew, et al.
Radiography (2022) Vol. 28, Iss. 4, pp. 881-888
Open Access | Times Cited: 23
Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review
Belinda Lokaj, Marie‐Thérèse Pugliese, Karen Kinkel, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 2096-2109
Open Access | Times Cited: 13
Exploring clinical specialists’ perspectives on the future role of AI: evaluating replacement perceptions, benefits, and drawbacks
Muhammad Daniyal, Moiz Qureshi, Roy Rillera Marzo, et al.
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Artificial intelligence in medical imaging education: Recommendations for undergraduate curriculum development
Elizabeth A. Crotty, A. Singh, N Neligan, et al.
Radiography (2024) Vol. 30, pp. 67-73
Open Access | Times Cited: 4
Evaluation of a customised, AI-focused educational seminar delivered to final year undergraduate radiography students in the UK: A cross-sectional study
Nikolaos Stogiannos, Emily Skelton, S. Kumar, et al.
Radiography (2025) Vol. 31, Iss. 3, pp. 102926-102926
Open Access
The time is now: making the case for a UK registry of deployment of radiology artificial intelligence applications
Milou Silkens, Jack Ross, Margaret Hall, et al.
Clinical Radiology (2023) Vol. 78, Iss. 2, pp. 107-114
Open Access | Times Cited: 12
Nordic radiographers’ and students’ perspectives on artificial intelligence – A cross-sectional online survey
Malene Roland Vils Pedersen, Martin Weber Kusk, S. Lysdahlgaard, et al.
Radiography (2024) Vol. 30, Iss. 3, pp. 776-783
Open Access | Times Cited: 3
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey
Clare Rainey, Tracy O’Regan, Jacqueline Matthew, et al.
Journal of medical imaging and radiation sciences (2022) Vol. 53, Iss. 3, pp. 347-361
Open Access | Times Cited: 17
Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis
Carol-Ann Fazakarley, Maria Breen, Ben Thompson, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
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